115 lines
4.1 KiB
Python
115 lines
4.1 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2014 Yahoo! Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import logging
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import os
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import sys
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logging.basicConfig(level=logging.ERROR)
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top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
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os.pardir,
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os.pardir))
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sys.path.insert(0, top_dir)
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from taskflow import engines
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from taskflow.patterns import linear_flow as lf
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from taskflow.patterns import unordered_flow as uf
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from taskflow import task
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# INTRO: This is the defacto hello world equivalent for taskflow; it shows how
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# an overly simplistic workflow can be created that runs using different
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# engines using different styles of execution (all can be used to run in
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# parallel if a workflow is provided that is parallelizable).
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class PrinterTask(task.Task):
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def __init__(self, name, show_name=True, inject=None):
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super(PrinterTask, self).__init__(name, inject=inject)
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self._show_name = show_name
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def execute(self, output):
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if self._show_name:
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print("%s: %s" % (self.name, output))
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else:
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print(output)
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# This will be the work that we want done, which for this example is just to
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# print 'hello world' (like a song) using different tasks and different
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# execution models.
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song = lf.Flow("beats")
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# Unordered flows when ran can be ran in parallel; and a chorus is everyone
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# singing at once of course!
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hi_chorus = uf.Flow('hello')
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world_chorus = uf.Flow('world')
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for (name, hello, world) in [('bob', 'hello', 'world'),
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('joe', 'hellooo', 'worllllld'),
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('sue', "helloooooo!", 'wooorllld!')]:
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hi_chorus.add(PrinterTask("%s@hello" % name,
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# This will show up to the execute() method of
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# the task as the argument named 'output' (which
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# will allow us to print the character we want).
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inject={'output': hello}))
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world_chorus.add(PrinterTask("%s@world" % name,
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inject={'output': world}))
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# The composition starts with the conductor and then runs in sequence with
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# the chorus running in parallel, but no matter what the 'hello' chorus must
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# always run before the 'world' chorus (otherwise the world will fall apart).
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song.add(PrinterTask("conductor@begin",
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show_name=False, inject={'output': "*ding*"}),
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hi_chorus,
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world_chorus,
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PrinterTask("conductor@end",
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show_name=False, inject={'output': "*dong*"}))
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# Run in parallel using eventlet green threads...
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try:
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import eventlet as _eventlet # noqa
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except ImportError:
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# No eventlet currently active, skip running with it...
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pass
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else:
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print("-- Running in parallel using eventlet --")
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e = engines.load(song, executor='greenthreaded', engine='parallel',
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max_workers=1)
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e.run()
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# Run in parallel using real threads...
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print("-- Running in parallel using threads --")
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e = engines.load(song, executor='threaded', engine='parallel',
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max_workers=1)
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e.run()
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# Run in parallel using external processes...
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print("-- Running in parallel using processes --")
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e = engines.load(song, executor='processes', engine='parallel',
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max_workers=1)
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e.run()
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# Run serially (aka, if the workflow could have been ran in parallel, it will
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# not be when ran in this mode)...
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print("-- Running serially --")
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e = engines.load(song, engine='serial')
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e.run()
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print("-- Statistics gathered --")
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print(e.statistics)
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